mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-10-06 00:57:33 +08:00
41 lines
1.2 KiB
C++
41 lines
1.2 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#include "fastdeploy/vision.h"
|
|
|
|
int main() {
|
|
namespace vis = fastdeploy::vision;
|
|
auto model = vis::ultralytics::YOLOv5("yolov5s.onnx");
|
|
if (!model.Initialized()) {
|
|
std::cerr << "Init Failed." << std::endl;
|
|
return -1;
|
|
}
|
|
cv::Mat im = cv::imread("bus.jpg");
|
|
cv::Mat vis_im = im.clone();
|
|
|
|
vis::DetectionResult res;
|
|
if (!model.Predict(&im, &res)) {
|
|
std::cerr << "Prediction Failed." << std::endl;
|
|
return -1;
|
|
}
|
|
|
|
// 输出预测框结果
|
|
std::cout << res.Str() << std::endl;
|
|
|
|
// 可视化预测结果
|
|
vis::Visualize::VisDetection(&vis_im, res);
|
|
cv::imwrite("vis_result.jpg", vis_im);
|
|
return 0;
|
|
}
|